Kennis Counter is a web app that allows you to perform a word count of a large variety of documents, texts and web pages, and produce a detailed report containing the repetitions, similarities and new words found in the segments it analyses.

It was created specifically for freelance translators, but can also be used by teachers, students, writers and anyone who needs to know how many words are contained in a document or a web page.

As a web app, it functions on any operating system (Linux, Windows, Mac) and any device (mobile or desktop). Just add the documents you want counted or cut and paste a text or a link from a web page and Kennis Counter will do an analysis. This includes words from repeated segments, fuzzy segments (with 75% similarity or above) and new segments.

Kennis Count also lists the most important words in order of occurrence and the number of segments.

Kennis Counter is a tool that was originally created by KennisTranslations for its own partners and collaborators. However, since we thought it would be of interest to the general public, we decided to make it free.

Kennis Counter guarantees absolute confidentiality for uploaded texts and documents. They are deleted from our server immediately after being counted. We do not store any information, nor do we keep any statistics.

Yes, Kennis Counter is completely free.

Yes! Our counter is optimised for mobile phones and tablets of all brands and sizes. Now, you can do word counts outside your home from anywhere! This is one of the great advantages of Kennis Counter. So far, we aren’t aware of any other tool capable of counting documents on these types of devices.

To count documents, drag and drop one or several files into the box or click the BROWSE button, select the files you want and click the button COUNT. The counter will analyse the documents and produce a report.

Click CLEAR and the boxes will reappear.

At the moment, the document counter reads the following types of files: .docx, .doc, .pptx, .xlsx, .xls, .odt, .html, .htm, .txt, .xml, .pdf, .rtf, .epub. However, we hope to add more formats in the coming months depending on demand.

No, the counter only recognises pptx files from the 2007 version onwards. To count a ppt file, you can easily convert it to pptx in your version of Office or on many websites on the net.

However, we are currently looking at ways of adding these types of files in the near future.

Some PDF files are simply images. They don’t contain text, only the representation of a text in the form of an image (a scan). To convert these images into text, you need to use OCR (Optical Character Recognition). Currently, the Kennis Counter recognises only PDFs with text (no images). However, we are working on ways to recognise texts generated from scans.

Place a text or type it into the textbox and click the button COUNT.

Copy and paste a hyperlink or various active hyperlinks into the textbox (one per line) and click Count. Active hyperlinks always begin with “http://”. Rather than manually typing in the hyperlinks, copy and paste them directly from your browser to avoid inserting the wrong link.

The counter will download an html document sent by the server and produce the count.

The links counter counts the number of words that exist on a particular web page just after it is loaded. It does not count all of the web pages on a website, only the web page selected.

To count an entire website, you should manually place all of the links in the links counter. Many websites have a sitemap, so you can gather all of the links from there.

Normally, a segment is what we know of as a phrase. It is the minimum unit of comparison and counts are always done at the segment level.

For us, words are the minimum elements that constitute a segment. When we use the term ‘words’, we always do so in the context of segments. Words are never compared individually.

It is the number of words that exist in repeated segments. For example:

▪ The black cat eats mice

▪ The black cat eats mice

These two segments are identical; they are repeated. Since each segment contains 5 words, we would count 5 new words (the first time a segment is counted) and 5 repetitions (the second time it is counted), making up a total of 10 words. As we can see, the word count is always done at the level of the segments. Words are only considered as part of a segment, never individually. Here is an example of what isn’t considered a repetition:

▪ This sentence is very short

▪ The cat is black

In this case, the word ‘is’ is repeated, but the segments containing it aren’t repeated. We would therefore not count the word ‘is’ as a repetition.

It is the number of words that exist in a segment that has a high degree of similarity with another, greater than 74% (segments with a lower degree of similarity are considered new). For example:

▪ The black cat eats mice

▪ The yellow cat eats mice

4 of the 5 words are identical and are in the same order, meaning that there is 80% similarity between these two segments (fuzzy match).

The fuzzy categories that we use are 75%-84%, 85%-94% and 95%-99%. The above example would, therefore, appear in the 75%-84% category.

It is the number of words that exist in a non-repeated and non-fuzzy segment. That is, new words are unique words that are not repeated and are included in segments that have a degree of similarity that is less than 75%. For example:

▪ This sentence is very short

▪ The cat is black

In this case, there are 9 new words.

All word count tools use different processes for extracting the text to be counted. A word count in Word 2003 will be different than one done in Word 2007 or Word 2013. Similarly, word counts will be different among MemoQ, SDL Trados Studio, Wordfast and OmegaT. Word counts for some of these programs will also differ from one version to the next.

However, the differences between Kennis Counter and the most popular tools available in the market are small. What we want to emphasise is that our aim is always to produce counts that are as fair and humane as possible.

Kennis Counter works with most browsers: Firefox, Chrome, Safari, Opera, Microsoft Edge and Internet Explorer. However, since it uses the latest technologies to make it user friendly, we recommend that you use the latest version of your browser.

Please, enable Javascript in your browser.

To create an analysis report in PDF, click the button containing the pdf icon